DocumentCode
259526
Title
Investigating the Effectiveness of a Moving-Target Oriented Opportunistic Routing Algorithm on RoboCup Rescue Simulations
Author
Kawakami, Tomoya ; Kisanuki, Kyoichi ; Ito, Takao ; Iwata, Keiji ; Ito, Noboru ; Izumi, T.
Author_Institution
Dept. of Comput. Sci. & Eng., Nagoya Inst. of Technol., Nagoya, Japan
fYear
2014
fDate
Aug. 31 2014-Sept. 4 2014
Firstpage
919
Lastpage
924
Abstract
Voice and radio communications are a means of sharing information between agents in RoboCup Rescue Simulations. However, since this is limited to voice communication in some scenarios, it is necessary to establish a communication system for environments in which voice communication is disrupted or delayed. The architecture used in this situation is called a delay-tolerant network (DTN). The method for focusing on moving agents is efficient because every agent moves, searches and rescues in RoboCup Rescue Simulations. Therefore, we discuss applying a moving target oriented opportunistic routing algorithm in vehicular networks (MORN) to the RoboCup Rescue Simulation. At first, we consider the validity of the MORN in disaster relief. Secondly we implement rescue agents by using the MORN and confirm the efficiency. As the results, we confirmed the possibility of the MORN in RoboCup Rescue Simulation and discuss the problems which have been found from some experiments as future works.
Keywords
delay tolerant networks; rescue robots; telecommunication network routing; DTN; MORN algorithm; RoboCup rescue simulation; delay-tolerant network; moving target oriented opportunistic routing algorithm; radio communication; voice communication; Computational modeling; Earthquakes; Electronic mail; Integrated circuit modeling; Roads; Routing; Vehicles; DTN; MORN; RCRS; RoboCup Rescue Simulations;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Applied Informatics (IIAIAAI), 2014 IIAI 3rd International Conference on
Conference_Location
Kitakyushu
Print_ISBN
978-1-4799-4174-2
Type
conf
DOI
10.1109/IIAI-AAI.2014.181
Filename
6913425
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